36 results about "Residual generator" patented technology

The invention relates to the technical field of equipment fault monitoring, and particularly discloses an equipment fault warning and state monitoring method. The equipment fault warning and state monitoring method is characterized by including two processes of model building and model operation; the process of model building includes the steps of acquiring training data, performing data preprocessing operation on the training data, then adopting a nonparametric learning algorithm to select a memory matrix, training a residual generator and acquiring a residual threshold of each parameter; the process of model operation includes the steps of acquiring real-time data, performing data preprocessing operation on the real-time data, then calculating all parameter residuals of the real-time data, analyzing the residuals to judge whether the equipment state is normal or not, and further positioning fault causes. The method has the advantages of data-driven method based universality, robustness and high adaptive capability, the shortcoming that warning results are difficult to analyze and explain is avoided, and additionally accuracy and efficiency of fault warning are both improved due to introduction of the nonparametric learning algorithm.

The invention discloses a distributed multi-agent real-time fault detection method based on local cooperation, and relates to the technical field of multi-agent control. The method comprises the following steps: establishing a multi-agent system topology model, a node dynamic model and a local cooperation network model for a multi-agent system; building a residual generator framework based on local cooperation on the basis of the multi-agent system topology model, the node dynamic model and the local cooperation network model; further introducing a hybrid H2 / H-infinity optimization index to the residual generator framework, and obtaining the optimal parameters of the residual generator framework by solving a hybrid optimization problem; performing the distributed construction of a residualgenerator under the optimal parameters to obtain a globally optimal residual signal; setting a threshold function for the globally optimal residual signal; determining that a target node has a faultif the amplitude of the globally optimal residual signal exceeds an amplitude limit value of a threshold function, or else determining that the target node does not have the fault.

The invention discloses a fault detection method for a servo system based on an observer and relates to a fault detection method for a servo system, which belongs to the technical field of electromechanical failure detection. The method comprises the following steps of 1, modeling a dual-motor servo system as a linear model with an unknown input, an actuator fault and a sensor failure; 2, generating a residual signal by a Kalman filtering observer-based residual generator and conducting the fault detection and logic judgment; 3, through a norm-based residual evaluation function and a fixed threshold value, conducting the fault detection and logical judgment to detect a fault signal, and completing the fault detection of the dual-motor servo system. According to the technical scheme of the invention, the Kalman filtering observer-based residual generator reduces the influence of the external interference on the dual-motor servo system. Meanwhile, based on the norm-based residual evaluation function and the fixed threshold-value logical judgment, the fault signal of the system can be effectively detected.

The present invention involves a system and method of model-based fault detection for a vehicle steer-by-wire system. The method includes providing a steer-by-wire fault detection unit to implement fault detection for the fault occurrence in sensors, actuators, and the controlled plant. The steer-by-wire fault detection unit is composed of a residual generator and decision-making unit. The residual generator generates a series of residual signal which are difference between the estimation signals based on a steer-by-wire controlled plant mathematical model and the actual measurement signals of steer-by-wire controlled plant. The decision making unit determines whether any faults have occurred by applying a fault test rule for residual signals. The fault detection for the steer-by-wire system includes the influence of system uncertainty and nonlinearity, A robust gain scheduling H∞ fault detector is implemented to generate residual signals to reduce the effect of system uncertainty and nonlinearity for the residual signals. Therefore, the fault detection system is robust with respect to the model uncertainty, external noise and dynamic gain change, and is sensitive to faults occurrence in the steer-by-wire controlled plant.

A system and method is given for minimizing periodic disturbances in electronic systems. Given the input-output characteristics of the system, the present method identifies and cancels the periodic disturbance. The periodic disturbance parameters are identified through the use of a residual generator. The output of the residual generator is fed into an identifier that estimates disturbance parameters. The compensation filter combines the output of the identifier with a set of pre-computed parameters to form a cancellation signal. This signal is then added to the input of the plant to cancel the periodic disturbance.

The invention discloses a robust detection method for an intermittent multiplicative sensor fault in an electric multiple unit (EMU) braking system, and belongs to the field of signal processing. The method comprises the steps of establishing a state space model of an EMU braking system, designing a robust residual generator, and designing a fault detection strategy. The robust detection method in the invention effectively ensures practical application requirements of detection of the multiplicative intermittent sensor fault in the EMU, realizes online detection of the occurrence and disappearance of the multiplicative intermittent sensor fault in real time under the condition that the system has a random uncertainty, and achieves automatic and intelligent detection.

The invention discloses a propulsive power dynamic self-adaptive control method. The method comprises the steps that the main distribution board busbar switch state of a power management system, and the network state and the load factor of a diesel generator set are acquired and sent to a controller; and the controller synthesizes the information and the current output power of an inverter to carry out dynamic power limiting and fast power limiting on the inverter. In the dynamic power limiting process, the controller monitors the load factor of the diesel generator set in real time, and constantly adjusts the limit of the output power of the inverter to ensure safe operation of the diesel generator set. In a fast power limiting process, the controller monitors the load factor of the diesel generator set and the corresponding main switch state in real time. When the corresponding main switch is turned off due to the failed generator set, the controller can quickly limit the output power of the inverter to ensure safe operation of remaining generator sets. The propulsive power dynamic self-adaptive control method provided by the invention has the advantages of simple system structure and high automation degree, and can ensure safe and reliable sailing of an electric propulsion ship in all cases.

An encoding apparatus is configured to encode input image data including a plurality of frames. The encoding apparatus includes a prediction coefficient generator adapted to generate a prediction coefficient for use in prediction of a second frame from a first frame, an image predictor adapted to generate a predicted image from a third frame by using the prediction coefficient, a residual generator adapted to determine a residual component between a current frame to be encoded and the predicted image, and an output unit adapted to output the residual component in the form of encoded data, wherein the first to third frames are frames which occurred as frames to be encoded, before the occurrence of the current frame.

The invention discloses a distributed speed sensor fault diagnosis method for an unmanned aerial vehicle formation system with communication time delay, which belongs to the field of unmanned aerial vehicle formation systems. The method comprises steps: communication topological parameters are calculated; based on the communication topological parameters, a given trajectory, a formation vector and a preset condition, a distributed formation control law is obtained; based on a formation system closed loop model and measurement on a relative state between each unmanned aerial vehicle and a neighbor unmanned aerial vehicle, a distributed fault detection residual generator and a corresponding residual evaluation function are obtained; a group of distributed fault separation residual generators and a corresponding residual evaluation function are further obtained; based on an open loop model of the unmanned aerial vehicle, a decentralized fault separation residual generator and a corresponding residual evaluation function are obtained; and based on the residual evaluation functions and corresponding thresholds, fault detection and separation are carried out. Under fixed-duration time delay interference on communication between the unmanned aerial vehicles, the method can still realize detection and separation on self fault of each unmanned aerial vehicle and fault of the neighbor unmanned aerial vehicle.

The invention discloses a distributed multi-agent collaborative fault detection method, a storage medium and distributed multi-agent collaborative fault detection equipment. The distributed multi-agent collaborative fault detection method comprises the following steps of: constructing a multi-agent system fault detection reference model; designing a fault self-detection algorithm for each node inthe multi-agent system fault detection reference model to obtain a fault self-detection result; correcting the multi-agent system fault detection reference model according to the fault self-detectionresult, optimizing a cooperative mechanism among nodes, and forming a cooperative detection network; and constructing a distributed residual generator based on the collaborative detection network, designing a corresponding threshold function to evaluate residuals, acquiring a fault mutual detection result, and determining that the multi-agent system fails by combining the fault self-detection result and the fault mutual detection result. According to the distributed multi-agent collaborative fault detection method, the multi-agent cooperative fault can be detected under the condition that onlyneighbor relative output information is obtained, the calculation complexity is low, and interference can be suppressed to the maximum extent while the detection precision is guaranteed.

The invention discloses an intermittent fault detection method and system of an ATO (automatic train operation) controlled high-speed train brake system. The method includes the steps of establishing a linear approximation model of the high-speed train brake system under the influence of intermittent faults; based on the linear approximation model, establishing a scalar residual generator for intermittent faults of an actuator of the high-speed train brake system; based on the scalar residual generator, generating a detection signal, and performing hypothesis testing via the detection signal so as to detect the intermittent faults of the high-speed train brake system. The intermittent fault detection method and system has the advantages that the intermittent faults of high-speed trains can be accurately and quickly detected under the unknown disturbances and measurement noises, detection performance is quantified, and detectability of the intermittent faults is analyzed.

The invention discloses an event driving-based bullet train robust sensor intermittent fault detection method, and belongs to the field of signal processing. The method comprises the following steps of: establishing a bullet train random uncertain state space model; designing an event trigger strategy; designing an event driving-based robust residual generator: offline designing a state estimatorgain: setting a state estimator initial value, calculating a middle variable, calculating the state estimator gain and calculating a state estimation error covariance upper bound, and online calculation residual: setting a state estimation initial value, calculating a one-step state predicted value, calculating an innovation, calculating a state estimated value and calculating the residual; and designing an intermittent fault detection strategy: calculating a fault detection statistical amount, calculating a fault detection threshold value and setting a fault detection logic. According to themethod, occurrence moments and disappear moments of intermittent faults can be detected at the same time, so that the stable and safe operation of the bullet trains is ensured and the practical application requirements are effectively ensured.

The invention discloses a maglev train levitation system fault detection method based on data driving. The maglev train levitation system fault detection method comprises the following steps: S1, obtaining a residual generator through levitation system data identification; S2, according to data training under normal work of a suspension system, obtaining statistical characteristic quantity relatedto fault detection; and S3, constructing fault detection statistics according to the sample data to perform fault detection. According to the diagnosis method, the support of a system model is not needed, the residual generator is directly identified according to the suspension system data, whether the fault occurs or not can be directly judged by comparing the input data with a threshold value set by the training data, the uncertainty caused by the model is reduced, and the fault detection is accurate.

The invention relates to a robust residual error generator-based inverter parallel disturbance feedforward compensation control method and system. The method comprises the following steps that: the filtering inductance values, capacitance values and transition frequencies of inverter filters in a multi-inverter parallel topology under the condition that the reactive power of the inverter filtersis minimum are obtained; the Pl gain of a current loop and a voltage loop in a double-closed loop structure is calculated; a robust residual generator-based dynamic compensation control structure is established, and current and voltage loop dynamic compensation controller parameters are calculated; and dynamic compensation controller-based feedforward control is added, and the multi-inverter parallel topology is controlled according to the output current of each inverter. With the robust residual error generator-based inverter parallel disturbance feedforward compensation control method and system of the invention adopted, the influence of the parameter difference between the inverters on power equalization is alleviated on the premise of ensuring system stability, so that output voltage control is more stable.

Embodiments of the present invention provide a pipeline ADC front-end sampling structure that provides a continuous time input signal to a flash comparator for sampling. By providing a continuous time input signal to the flash comparator, no delay is introduced from the need to transfer a DC charge representing the sampled input to the flash comparator. Matching sampling networks in the residual generator and the flash comparator are avoided due to the high bandwidth response requirements of the residual generator and the flash comparator when operating on high frequency input signals.

The invention relates to a robust fault-tolerant control module, method and system based on a residual generator. The method comprises the following steps of: constructing a robust fault-tolerant control architecture of a three-phase inverter based on a residual generator, wherein the robust fault-tolerant control architecture of the three-phase inverter based on the residual generator comprises acompensation controller; on the basis of the robust fault-tolerant control architecture of the three-phase inverter based on the residual generator, constructing a mathematical model containing renewable energy distributed power supply inverter voltage and current double closed-loop control and an LC filter circuit, and a residual generator based on an observer; determining an optimized compensation controller according to the compensation controller and the observer-based residual generator; and controlling a control object according to the optimized compensation controller and controller. According to the invention, the voltage and power quality problem of the three-phase inverter can be solved.

The present invention discloses a robust intermittent sensor fault diagnosis method of a high-speed train key system, and belongs to the signal processing field. The method comprises the steps of establishing a discrete time state spatial model of the high-speed train key system; designing a robust residual generator of the high-speed train key system; designing a robust intermittent sensor faultdetection method of the high-speed train key system; and designing a robust intermittent sensor fault separation and estimation method of the high-speed train key system. The robust intermittent sensor fault diagnosis method of the present invention guarantees the actual application demands of the intermittent sensor fault diagnosis of the high-speed train key system effectively.

The invention discloses a dense residual generative adversarial network capable of quickly removing rain. The dense residual generative adversarial network comprises the following steps: establishingan algorithm operation environment; b, establishing a rain removal data set; c, designing a dense residual generator sub-network for quickly removing rain; d, designing a dense residual discriminatorsub-network for quickly removing rain; e, designing a discriminator and a generator loss function; and f, performing image post-processing and index calculation, and verifying the rain removal effectof the algorithm model. According to the invention, the operation and test environment of the whole algorithm is built, and the time consumption is reduced as much as possible while the rain removal effect is ensured and enough background details are reserved through the designed rain removal model. According to a result test, the rain removing duration of each image is about 0.02 s, and the rainremoving efficiency is greatly improved.

A variable speed genset system is provided. The variable speed genset system may include a plurality of gensets, a switch assembly coupling one or more of the gensets to a common bus, a power electronics circuit selectively coupling the switch assembly to the common bus, and a controller in electrical communication with the gensets, the switch assembly and the power electronics circuit. The controller may be configured to designate any one or more of the gensets to operate as variable speed gensets and one or more of the remaining gensets to operate as constant speed gensets, engage the switch assembly to couple the variable speed genset to the power electronics circuit, and engage the switch assembly to couple the constant speed gensets to the common bus.

The invention relates to a power positioning ship energy management optimization method with an automatic fault isolation function. The method comprises steps of carrying out dispatching according to energy consumption characteristics of generating units and output proportion of thereof; taking the combination of products of the ratio of output power to biggest power of each generating unit and the ratio of rated power of each power generator to the biggest power generator rated power as a feasible solution, and by use of the genetic algorithm, searching a gregarious optimal solution; using an observation device to observe operation sates of each generating unit, and when a generating unit fails, automatically disconnecting the failed generating unit, thereby finishing fault isolation; and re-scheduling the rest generating units, thereby ensuring safety and stability of the ship power grid. According to the invention, load of each ship generating unit is properly distributed, so the safety of the ship power grid is ensured, power consumption of ships is reduced and objectives of reducing ship operation cost and ship pollution are achieved.

The invention relates to a power quality controller voltage stability control method and device based on a robust residual generator, electronic equipment and a storage medium. The method comprises the following steps: constructing a control architecture of an electric energy quality controller based on a stability controller and a compensation controller; generating a transfer function of the compensation controller based on model matching, and performing order reduction on the transfer function of the compensation controller to generate an analytic functional expression of a first-order compensation controller; performing gradient descent optimization on the analytic functional expression of the first-order compensation controller of the compensation controller based on a gradient descent objective function, and generating a convergence-optimized power quality control system output equation based on the robust residual generator. According to the invention, the compensation controller with a plug-and-play function is configured, the overall stability of the system is ensured under the condition that the controller and the configuration thereof are not changed, and online better disturbance suppression is realized.

The invention discloses a robust detection method for intermittent sensor faults in the brake system of a train set, which belongs to the field of signal processing. The method includes: the steps of establishing a state space model of the brake system of a train set, and the steps of designing a robust residual generator , design fault detection strategy steps. The invention effectively guarantees the actual application requirements of fault detection of intermittent passenger sensors of EMUs, can detect the occurrence and disappearance of faults of intermittent passenger sensors in real time on-line in the case of random uncertainties in the system, and achieves automatic and intelligent detection.

The invention discloses an optimal gyroscope combination selection method based on residual error generators. The method comprises steps as follows: (1), four gyroscopic instruments of four standby gyroscopic assemblies including three upright gyroscopic assemblies and one oblique gyroscopic assembly are divided into four groups of gyroscope combinations; (2), the three-axis angular speed of each satellite is calculated according to measurement values of the four groups of gyroscopic combinations according to mounting matrixes of the standby gyroscopic assemblies, and three-axis angular speeds of the four satellites are obtained; (3), the three-axis attitude provided by a star sensor and the three-axis angular speeds, calculated by the four groups of gyroscopic combinations, of the satellites are used for forming the residual error generators, and four attitude residual errors are obtained totally; (4), an evaluation function of each attitude residual error is solved, the four evaluation functions are sequenced according to numerical magnitudes, and the smallest group is the optimal gyroscope combination. The gyroscope combination with the optimal performance is dynamically selected in orbit in real time, redundancy of the gyroscopic assemblies on the satellite is effectively used, angular speed information with higher accuracy can be provided for an attitude control system, and the method has certain fault-tolerant capacity for gyroscopic faults.

The invention discloses a distributed security state reconstruction method based on a double-layer dynamic switching observer, which includes the following steps: constructing a dynamic model of its sensing channel after being attacked according to a multi-agent system; combining specific multi-agent The body system model builds a double-layer observer for each multi-agent agent, constructs a suitable observation communication topology, and designs a corresponding residual generator; analyzes and generates dynamic information of the residual threshold for the observation model, and checks the relationship between each residual signal and The size between the thresholds dynamically switches the communication topology between observers according to the size of the comparison, and performs new data communication interactions; combines its own observation data and received neighbor observation information to iteratively update to generate new observation data, and Whether the residual signal is greater than the current threshold is used as a criterion for judging whether the corresponding communication channel is under attack. The invention can ensure correct identification of all transmission channels subjected to malicious attacks and safe reconstruction of the real state of the system.

The invention discloses a propulsive power dynamic self-adaptive control method. The method comprises the steps that the main distribution board busbar switch state of a power management system, and the network state and the load factor of a diesel generator set are acquired and sent to a controller; and the controller synthesizes the information and the current output power of an inverter to carry out dynamic power limiting and fast power limiting on the inverter. In the dynamic power limiting process, the controller monitors the load factor of the diesel generator set in real time, and constantly adjusts the limit of the output power of the inverter to ensure safe operation of the diesel generator set. In a fast power limiting process, the controller monitors the load factor of the diesel generator set and the corresponding main switch state in real time. When the corresponding main switch is turned off due to the failed generator set, the controller can quickly limit the output power of the inverter to ensure safe operation of remaining generator sets. The propulsive power dynamic self-adaptive control method provided by the invention has the advantages of simple system structure and high automation degree, and can ensure safe and reliable sailing of an electric propulsion ship in all cases.

The invention discloses a fault detection method for a servo system based on an observer and relates to a fault detection method for a servo system, which belongs to the technical field of electromechanical failure detection. The method comprises the following steps of 1, modeling a dual-motor servo system as a linear model with an unknown input, an actuator fault and a sensor failure; 2, generating a residual signal by a Kalman filtering observer-based residual generator and conducting the fault detection and logic judgment; 3, through a norm-based residual evaluation function and a fixed threshold value, conducting the fault detection and logical judgment to detect a fault signal, and completing the fault detection of the dual-motor servo system. According to the technical scheme of the invention, the Kalman filtering observer-based residual generator reduces the influence of the external interference on the dual-motor servo system. Meanwhile, based on the norm-based residual evaluation function and the fixed threshold-value logical judgment, the fault signal of the system can be effectively detected.

The invention relates to a dynamic compensation control method and system for a microgrid based on a distributed residual error generator. The method comprises the steps of establishing a state spaceequation of the distributed residual error generator according to an obtained state space equation of the ith inverter when N inverters are connected in parallel, and obtaining a control model based on the distributed residual error generator; converting the control model based on the distributed residual error generator into a model taking disturbance di as input, calculating a dynamic compensation controller Q(s) to obtain a dynamic compensation control model based on the distributed residual error generator, and adding the dynamic compensation control model into droop control to generate acompensation control strategy so as to perform dynamic compensation control on the microgrid. The plug and play of the inverter and the load can be realized according to the invention.

The invention relates to the field of industrial process monitoring and fault diagnosis, and discloses a fault detection method and system of a non-Gaussian industrial process in order to online detect the non-Gaussian industrial process conveniently and practically. The method includes: step 1, selecting a certain quantity of normal historical data sets, performing mean value preprocessing on the data sets, and establishing a residual generator by employing a canonical correlation analysis method; step 2, determining a corresponding threshold of the corresponding residual generator by employing a Monte Carlo method; and step 3, performing real-time online detection on industrial process data according to the determined threshold of the corresponding residual generator.